Testing for parameter constancy in GARCH(p,q) models
By István Berkes, Lajos Horv'ath, Piotr Kokoszka. 2004
77 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/d7b10306e529bfe21b5cf0ca4f514e871a17fa6d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Lajos Horv'ath
- Giuseppe Cavaliere
- Alan M. Taylor
- Gregory Rice
- Remigijus Leipus
- Zhongjun Qu
- Liudas Giraitis
- Donatas Surgailis
In Finance
- Lajos Horv'ath
- Donatas Surgailis
- Gregory Rice
- Liudas Giraitis
- Giuseppe Cavaliere
- Remigijus Leipus
- Alan M. Taylor
- Tatsushi Oka
Citations in the corpus
- Extensions of some classical methods in change point analysis (2014, methodology): “It is proven in Berkes et al. (2009b) that under assumption (8.”
- Testing for a change in persistence in the presence of non-stationary volatility☆ (2008, methodology): “An alternative approach which we do not pursue in this paper, would be to assume a specific model for the volatility process and derive tests specifically for that model, as is done in the context of testing for change-points in GARCH processes by Berkes et al. (2004).”
- Estimating Structural Changes in Regression Quantiles (2011, methodology): “Kokoszka and Leipus (1999, 2000) and Berkes et al. (2004) studied parameter change in GARCH processes.”
- Recent Advances in ARCH Modelling (2007, methodology): “t=1 (Xt − EXt), τ ∈ [0, 1] } →D[0,1] {σW (τ), τ ∈ [0, 1]} , (15)”